On the Potential of Graph Neural Networks as Metamodels for Supply Chain Optimization: Dataset, Architectures, and Directions

arXiv:2607.16769 · cs.LG · Submitted 2026-07-18 · Read on arXiv

cs.LG

Submitted: 2026-07-18

Updated: 2026-09-07

Comments: 14 pages, 5 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 29× in this paper · explained in 1 episode
• GNNs — 26× in this paper · explained in 2 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Core — 5× in this paper · explained in 2 episodes
• Winter Simulation Conference — 5× in this paper
• Combinatorial Optimization — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 3× in this paper · explained in 7 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 15 episodes
• Gaussian Process Regression — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Neural Surrogates — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks
• Semi-Supervised Classification with Graph Convolutional Networks
• SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
• An Analytics-Driven Approach to Enhancing Supply Chain Visibility with Graph Neural Networks and Federated Learning
• Iterative Multi-Agent Reinforcement Learning: A Novel Approach Toward Real-World Multi-Echelon Inventory Optimization

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